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1. Noriyuki Tanaka; Ko Watanabe; Shoya Ishimaru; Andreas Dengel; Shingo Ata; Manato Fujimoto

   Concentration Estimation in Online Video Lecture Using Multimodal Sensors

   In: Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pervasive and Ubiquitous Computing (UbiComp …

2. Mahta Bakhshizadeh; Heiko Maus; Andreas Dengel

   Context-based Entity Recommendation for Knowledge Workers: Establishing a Benchmark on Real-life Data

   In: Proceedings of the 18th ACM Conference on Recommender Systems. ACM Recommender Systems (RecSys-2024), located at 18th ACM Conference on …

3. Mahta Bakhshizadeh

   Supporting Knowledge Workers through Personal Information Assistance with Context-aware Recommender Systems

   In: Proceedings of the 18th ACM Conference on Recommender Systems. ACM Recommender Systems (RecSys-2024), located at 18th ACM Conference on …

4. Nabeel Khalid; Maria Caropresse; Gillian Lovell; Andreas Dengel; Sheraz Ahmed

   CellSpot: Deep Learning-Based Efficient Cell Center Detection in Microscopic Images

   In: 33rd International Conference on Artificial Neural Networks ICANN. International Conference on Artificial Neural Networks (ICANN-2024), September …

5. Alexander Schultheis; Benjamin Alt; Sebastian Bast; Achim Guldner; David Jilg; Darko Katic; Johannes Mundorf; Tobias Schlagenhauf; Sebastian Weber; Ralph Bergmann; Simon Bergweiler; Lars Creutz; Guido Dartmann; Lukas Malburg; Stefan Naumann; Mahdi Rezapour; Martin Ruskowski

   EASY: Energy-Efficient Analysis and Control Processes in the Dynamic Edge-Cloud Continuum for Industrial Manufacturing

   In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für …

6. Mahta Bakhshizadeh; Christian Jilek; Heiko Maus; Andreas Dengel

   Towards Context-aware Recommender Systems for Supporting Knowledge Workers in Personal and Corporate Information Space

   In: Workshop Proceedings of INFORMATIK 2024. AI@WORK Workshop (AI@WORK-2024), located at INFORMATIK Festival 2024, September 24, Wiesbaden, Germany, …

7. Nabeel Khalid

   Segment Anything for Microscopy

   In: Nature, Vol. None, Pages 1-30, Nature Methods, 8/2024.

8. Nabeel Khalid; Mohammadmahdi Koochali; Duway Nicolas Lesmes Leon; Maria Caroprese; Gillian Lovell; Daniel A Porto; Johan Trygg; Andreas Dengel; Sheraz Ahmed

   CellGenie: An end-to-end Pipeline for Synthetic Cellular Data Generation and Segmentation: A Use Case for Cell Segmentation in Microscopic Images

   In: 28th UK Conference on Medical Image Understanding and Analysis - MIUA. Medical Image Understanding and Analysis (MIUA-2024), Spriner Nature, …

9. Nabeel Khalid; Maria Caroprese; Gillian Lovell; Daniel A Porto; Johan Trygg; Andreas Dengel; Sheraz Ahmed

   Bounding Box is all you need: Learning to Segment Cells in 2D Microscopic Images via Box Annotations

   In: 28th UK Conference on Medical Image Understanding and Analysis - MIUA. Medical Image Understanding and Analysis (MIUA-2024), Spriner Nature, …

10. Gregor Duwe; Dominique Mercier; Crispin Balthasar Wiesmann; Markus Junker; Axel Haferkamp; Andreas Dengel; Thomas Höfner

    Einsatz neuer Technologien: Künstliche Intelligenz in der medizinischen Entscheidungsfindung – Status quo und Perspektiven einer interdisziplinären Herausforderung

    In: Mario A. Pfannstiel. Technologien und Technologiemanagement im Gesundheitswesen. Pages 669-731, ISBN 978-3-658-43860-9, Springer, Wiesbaden, …

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